NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Researchers1
What Works Clearinghouse Rating
Showing 1 to 15 of 40 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Bezek Güre, Özlem; Sevgin, Hikmet; Kayri, Murat – International Journal of Contemporary Educational Research, 2023
The research aims to determine the factors affecting PISA 2018 reading skills using the Random Forest and MARS methods and to compare their prediction abilities. This study used the information from 5713 students, 2838 (49.7%) male and 2875 (50.3%) female, in the PISA 2018 Turkey. The analysis shows the MARS method performed better than the Random…
Descriptors: Achievement Tests, International Assessment, Secondary School Students, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
Tao Jiang; Hai Feng Qian; Fu Qiang Li; Tai Jun Wang – International Journal of Science Education, 2025
The education system strives to help students from low-income families achieve academic success. Academic resilience is related to not only individuals but also classrooms and schools. This study aimed to construct a comprehensive resilience model in science domains that presents the image of resilient students and describes the mechanisms by…
Descriptors: Classification, Secondary School Students, Resilience (Psychology), Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Jae Yup Jung; Jihyun Lee – Exceptional Children, 2024
This study investigated the typologies of teacher attitudes toward gifted students and gifted education, along with the predictors of such attitudes. For this purpose, surveys were administered to 339 teachers employed in a large faith-based school system in Australia. Analyses including factor analysis and latent profile analysis were performed…
Descriptors: Teacher Attitudes, Academically Gifted, Gifted Education, Predictor Variables
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Bernardo, Allan B. I.; Cordel, Macario O., II; Lucas, Rochelle Irene G.; Teves, Jude Michael M.; Yap, Sashmir A.; Chua, Unisse C. – Education Sciences, 2021
Filipino students ranked last in reading proficiency among all countries/territories in the PISA 2018, with only 19% meeting the minimum (Level 2) standard. It is imperative to understand the range of factors that contribute to low reading proficiency, specifically variables that can be the target of interventions to help students with poor…
Descriptors: Foreign Countries, English (Second Language), Reading Ability, Artificial Intelligence
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Simsek, Mertkan – International Journal of Technology in Education, 2022
Considering the large volume of PISA data, it is expected that data mining will often be assisted in making PISA data more meaningful. Studies show that different dimensions of ICT may reveal different relationships for mathematics achievement. The purpose of this article is to evaluate the success of the decision tree classification algorithms in…
Descriptors: Predictor Variables, Mathematics Achievement, Achievement Tests, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
Flunger, Barbara; Trautwein, Ulrich; Nagengast, Benjamin; Lüdtke, Oliver; Niggli, Alois; Schnyder, Inge – Journal of Experimental Education, 2021
The present study illustrates the utility of applying multilevel mixture models in educational research, using data on the homework behavior of 1,812 Swiss eighth-grade students in French as a second language. A previous person-centered study identified 5 homework learning types characterized by different patterns of high or low homework time and…
Descriptors: Foreign Countries, Middle School Students, Grade 8, Multivariate Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Bilican-Demir, Safiye – International Online Journal of Education and Teaching, 2021
The purpose of the study was to determine the characteristics of teachers who were effective in classifying low- and high-performing schools in PISA 2012 for Singapore. The TALIS 2013 teacher survey was used to identify the variables, and the data were obtained from the OECD official website. All schools participating in the PISA 2012 were ranked…
Descriptors: Teacher Characteristics, Teacher Effectiveness, School Effectiveness, Academic Achievement
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Karadavut, Tugba; Cohen, Allan S.; Kim, Seock-Ho – International Journal of Assessment Tools in Education, 2019
Covariates have been used in mixture IRT models to help explain why examinees are classed into different latent classes. Previous research has considered manifest variables as covariates in a mixture Rasch analysis for prediction of group membership. Latent covariates, however, are more likely to have higher correlations with the latent class…
Descriptors: Item Response Theory, Classification, Correlation, International Assessment
Peer reviewed Peer reviewed
Direct linkDirect link
Lee, Seon-Young; An, Donggun; Choe, Seung-Urn – High Ability Studies, 2020
This study examined if personality types of gifted students predicted their psychiatric symptoms and if the type of giftedness and gender moderated the relationship between the personality and psychiatric manifestations. "The Murphy-Meisgeir Type Indicator for Children" and "the Minnesota Multiphasic Personality…
Descriptors: Academically Gifted, Symptoms (Individual Disorders), Predictor Variables, Gender Differences
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Avci, Süleyman – International Journal of Contemporary Educational Research, 2022
The percentage of students with lower academic achievement than their peers due to their socio-economical disadvantages is globally accepted as an indicator of inequality. Some students, despite their disadvantages, are as successful as their advantaged peers. The family and individual characteristics and academic experiences of these students,…
Descriptors: Individual Characteristics, Academic Achievement, Achievement Gap, Socioeconomic Status
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Aksu, Gokhan; Reyhanlioglu Keceoglu, Cigdem – Eurasian Journal of Educational Research, 2019
Purpose: In this study, Logistic Regression (LR), CHAID (Chi-squared Automatic Interaction Detection) analysis and data mining methods are used to investigate the variables that predict the mathematics success of the students. Research Methods: In this study, a quantitative research design was employed during the data collection and the analysis…
Descriptors: Regression (Statistics), Data Collection, Information Retrieval, Predictor Variables
Peer reviewed Peer reviewed
Direct linkDirect link
Rangel, Virginia Snodgrass; Ballysingh, Tracy A. – Professional School Counseling, 2019
This article contributes to our understanding of the gap in college access by examining (a) the extent to which and (b) how high school counseling focused on college broadens access. We extend Engberg and Gilbert's typology of schools based on high school counseling norms and resources. Using recent data from the High School Longitudinal Study of…
Descriptors: School Counselors, School Counseling, Longitudinal Studies, College Bound Students
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Rajendran, Ramkumar; Kumar, Anurag; Carter, Kelly E.; Levin, Daniel T.; Biswas, Gautam – International Educational Data Mining Society, 2018
Researchers have highlighted how tracking learners' eye-gaze can reveal their reading behaviors and strategies, and this provides a framework for developing personalized feedback to improve learning and problem solving skills. In this paper, we describe analyses of eye-gaze data collected from 16 middle school students who worked with Betty's…
Descriptors: Eye Movements, Reading Processes, Reading Strategies, Middle School Students
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Yalcin, Seher – International Journal of Progressive Education, 2018
In this study, it is aimed to distinguish the reading skills of students participating in PISA 2015 application into multi-level latent classes at the student and country level. Furthermore, it is aimed to examine how the clusters emerged at country-level is predicted by variables as students have the information and communication technology (ICT)…
Descriptors: Reading Achievement, Reading Skills, Classification, Information Technology
Jones, Eric Thomas – ProQuest LLC, 2016
Of the six PLC dimensions theorized by Hord, the 307 respondents in this study suggested that two such dimension--namely, "Shared Personal Practice" and "Supportive Conditions: Structures"--tended systematically to be underrepresented at their schools: irrespective of their schools' categorization as either high- or…
Descriptors: Job Satisfaction, Disproportionate Representation, Hierarchical Linear Modeling, Communities of Practice
Previous Page | Next Page »
Pages: 1  |  2  |  3